Skill Demand Index
Machine Learning/Deep Learning — Demand & Depth Analysis
Based on 2 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L1
Median Depth
100%
Gap Rate
2
Jobs Analyzed
Minimal
Most employers want Machine Learning/Deep Learning at introductory awareness.
Overview
What is Machine Learning/Deep Learning?
Market context for Machine Learning/Deep Learning in the current job market
Machine Learning/Deep Learning is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Machine Learning/Deep Learning typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Machine Learning/Deep Learning:
- •Required in 0.1% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L1 depth — foundational knowledge with practical application
- •Most demand comes from Data Science / ML roles — 100% of all Machine Learning/Deep Learning jobs
What L1 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used Machine Learning/Deep Learning once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 100% means most applicants lack Machine Learning/Deep Learning at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Machine Learning/Deep Learning most:
Data Science / ML positions drive 100% of demand. Skills commonly paired with Machine Learning/Deep Learning include Python/R and A/B Testing.
Depth Level Distribution
Proficiency Distribution
How candidates match Machine Learning/Deep Learning requirements across 2 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How Machine Learning/Deep Learning affects compensation based on postings with disclosed salary data
Without Machine Learning/Deep Learning
$139K
Median $130K
979 jobs
Skill Demand Insight
“Machine Learning/Deep Learning appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Machine Learning/Deep Learning
Role Breakdown
Top Role Categories
Job categories most likely to require Machine Learning/Deep Learning
Gap Analysis
Gap Rate Explained
How often Machine Learning/Deep Learning is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Machine Learning/Deep Learning appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Machine Learning/Deep Learning in demand in 2026?
Yes. Machine Learning/Deep Learning appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
What level of Machine Learning/Deep Learning do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Machine Learning/Deep Learning increase salary?
Salary data for Machine Learning/Deep Learning is still accumulating.
What other skills pair with Machine Learning/Deep Learning?
The most common pairings are Python/R, A/B Testing, SQL, Data Science, AWS/GCP. Strengthening these alongside Machine Learning/Deep Learning improves your fit across more positions.
What roles need Machine Learning/Deep Learning the most?
Top roles: Data Science / ML. Data Science / ML positions have the highest demand at 100% of all Machine Learning/Deep Learning jobs.
How do I improve my Machine Learning/Deep Learning level?
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against Machine Learning/Deep Learning job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Machine Learning/Deep Learning gaps →See how your depth compares to what employers actually require
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